The development of Internet brings a great challenge to the survivability of the supporting distributed intelligent optical networks. The emergence of Active-Fault-Alarm (AFA) technology makes it possible for the syst...The development of Internet brings a great challenge to the survivability of the supporting distributed intelligent optical networks. The emergence of Active-Fault-Alarm (AFA) technology makes it possible for the system to be aware of the incoming or possible fault in advance and to provide possibility to develop a more active restoration mechanism. On this base, an Active Segment Pre-Restoration (ASPR) mechanism for distributed optical network is proposed. ASPR allows establishing a Segment Pre-Restoration Path (SPR-Path) as a work path, which is initiated by the local node, in advance of potential fault occuring and keeps the SPR-Path only during the low-quality or fault period. Simulation results show that the ASPR mechanism has better restoration performance compared with that of Active Restoration (AR) scheme.展开更多
基于SOPC神经网络的地铁屏蔽门故障报警系统与传统报警相比有很大的区别。采用神经网络的自学习能力,建立故障报警系统的数学模型。以Altera公司的Cyclone IV E的EP4CE15E22C8为硬件开发平台,设计了一种地铁安全门故障报警系统。利用MOD...基于SOPC神经网络的地铁屏蔽门故障报警系统与传统报警相比有很大的区别。采用神经网络的自学习能力,建立故障报警系统的数学模型。以Altera公司的Cyclone IV E的EP4CE15E22C8为硬件开发平台,设计了一种地铁安全门故障报警系统。利用MODELSIM软件进行模拟仿真试验,改变了传统地铁安全门故障报警模型的稳定性较差、误报频率较高的缺点,对避免影响地铁正常运行具有重要的指导作用。展开更多
利用贝叶斯网络建立通信网告警相关性模型,采用EM算法对不完全观察的隐变量进行学习。介绍了基于贝叶斯网络的基本概念。提出了通信网功能分层结构的思想,建立不同网络层次间的故障传播模型。讨论了从故障传播模型中构造贝叶斯网络。结...利用贝叶斯网络建立通信网告警相关性模型,采用EM算法对不完全观察的隐变量进行学习。介绍了基于贝叶斯网络的基本概念。提出了通信网功能分层结构的思想,建立不同网络层次间的故障传播模型。讨论了从故障传播模型中构造贝叶斯网络。结合SDH over DWDM实验模型,具体讨论了贝叶斯参数学习的实现步骤及结果。展开更多
基金supported in part by National High Technical Research and Development Program of China (863 Program)under Grant No.2009AA01z255, 2009AA01A345National Key Basic Research Program of China (973 Program) under Grant No.2007CB310705+1 种基金National Natural Science Foundation of China under Grant No. 60932004Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.200800130001
文摘The development of Internet brings a great challenge to the survivability of the supporting distributed intelligent optical networks. The emergence of Active-Fault-Alarm (AFA) technology makes it possible for the system to be aware of the incoming or possible fault in advance and to provide possibility to develop a more active restoration mechanism. On this base, an Active Segment Pre-Restoration (ASPR) mechanism for distributed optical network is proposed. ASPR allows establishing a Segment Pre-Restoration Path (SPR-Path) as a work path, which is initiated by the local node, in advance of potential fault occuring and keeps the SPR-Path only during the low-quality or fault period. Simulation results show that the ASPR mechanism has better restoration performance compared with that of Active Restoration (AR) scheme.
文摘基于SOPC神经网络的地铁屏蔽门故障报警系统与传统报警相比有很大的区别。采用神经网络的自学习能力,建立故障报警系统的数学模型。以Altera公司的Cyclone IV E的EP4CE15E22C8为硬件开发平台,设计了一种地铁安全门故障报警系统。利用MODELSIM软件进行模拟仿真试验,改变了传统地铁安全门故障报警模型的稳定性较差、误报频率较高的缺点,对避免影响地铁正常运行具有重要的指导作用。
文摘利用贝叶斯网络建立通信网告警相关性模型,采用EM算法对不完全观察的隐变量进行学习。介绍了基于贝叶斯网络的基本概念。提出了通信网功能分层结构的思想,建立不同网络层次间的故障传播模型。讨论了从故障传播模型中构造贝叶斯网络。结合SDH over DWDM实验模型,具体讨论了贝叶斯参数学习的实现步骤及结果。